An improvement over v1
There is still slop with the "not x, but y" prose, though it writes better otherwise. It talked about a lighthouse / cursed island instead of the clockmaker shop.
i think 1.1 isn't as good as the original, it has a lot more subtle refusal than v1, shorter replies, and more negative Gemini-like behavior. it seems that moe_karcher is better than moe_slerp.
A magnitude scan reveals that MeroMero had the highest L2 norm, followed by Animus, then Musica. This means that MeroMero had the "strongest pull" on the karcher direction.
100 iterations is enough to produce about the same fidelity as 1000
The base model gemma-4-26B-A4B-it was still chosen to be excluded for this version, but it might be added for v1.3
architecture: Gemma4ForConditionalGenerationmerge_method: moe_karcher# base_model: B:\26B\google--gemma-4-26B-A4B-itmodels: - model: B:\26B\AuriAetherwiing--G4-26B-A4B-Musica-v1 - model: B:\26B\ApocalypseParty--G4-26B-SFT-6 # zerofata/G4-MeroMero-26B-A4B - model: B:\26B\Darkhn--Gemma-4-26B-A4B-Animus-V14.1-FFTparameters: max_iter: 100 tol: 1.0e-9 router_strategy: karcher # Options: karcher, average, first, random_init blend_experts: true # Blend corresponding experts (expert[0] + expert[0], etc.)dtype: float32out_dtype: bfloat16tokenizer: source: union# chat_template: autotrust_remote_code: truename: G4-Runic-Oarfish-26B-A4B-v1.2
See v1 for more details of how to merge Gemma 4 MoE models.